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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 12844
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    INDEX
    Explanations

    phrases indicating a directive or action

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases emphasizing the word "just."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ixel
    -0.70
    lav
    -0.67
    untled
    -0.67
    ensical
    -0.66
     plaintiff
    -0.63
    endra
    -0.62
    glomer
    -0.62
     adversary
    -0.60
    pora
    -0.60
     PLUS
    -0.59
    POSITIVE LOGITS
    ifiable
    1.05
    ifications
    1.03
     kidding
    0.91
    if
    0.89
    ifi
    0.85
    ices
    0.85
     plain
    0.81
    icia
    0.77
    ific
    0.76
    itia
    0.74
    Activations Density 0.098%

    No Known Activations